Optimization of Preparation Technology of Near-infrared Light Response-based Doxorubicin Hydrochloride Nano-liposomes / 中国药房
China Pharmacy
; (12): 1312-1315, 2019.
Article
em Zh
| WPRIM
| ID: wpr-816932
Biblioteca responsável:
WPRO
ABSTRACT
OBJECTIVE: To establish a methaod for content determination of doxorubicin hydrochloride nano-liposomes, and to optimize its preparation technology. METHODS: The contents of doxorubicin hydrochloride nano-liposomes was determined by UV spectrophotometry. The membrane dispersion method was used to prepare doxorubicin hydrochloride nano-liposomes. Using particle size, encapsulation efficiency and drug-loading amount as indexes, the weight ratio of phospholipid to drug (mg/mg), the weight ratio of phospholipid to cholesterol (mg/mg) and ultrasonic time (min) as factors, central composite design-response surface methodology was used to optimize the preparation technology. The photothermal conversion effect of doxorubicin hydrochloride nano-liposomes was investigated by near infrared irradiation. RESULTS: The linear range of doxorubicin hydrochloride were 1.01-16.16 μg/mL(r=0.999 7); precision, stability and reproducibility tests were all in line with the requirments of Chinese Pharmacopoeia. The optimal preparation technology included that the weight ratio of phospholipid to drug was 13.30 ∶ 1(mg/mg); the weight ratio of phospholipid to cholesterol was 4.09 ∶ 1 (mg/mg); the ultrasonic time was 10 min. Under this technology, the particle size and drug-loading amount of doxorubicin hydrochloride nano-liposomes were (200.5±25.1) nm and (11.02±0.20)%, relative errors of which to predicted value (196.3 nm, 10.68%) were 1.82% and 1.63%. The consistency between measured value and predicted value was good. Doxorubicin hydrochloride nano-liposomes exhibited concentration- dependent and time-dependent photothermal conversion characteristics under near infrared irradiation at 808 nm. CONCLUSIONS: Established method is simple and good accuracy. The optimized preparation technology is simple and feasible.
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Base de dados:
WPRIM
Tipo de estudo:
Prognostic_studies
Idioma:
Zh
Revista:
China Pharmacy
Ano de publicação:
2019
Tipo de documento:
Article